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Record W2322444806 · doi:10.1093/jhs/hir025

'Where he lies, I lie': Tagore meets Kabir

2011· article· en· W2322444806 on OpenAlexaff
M. Bose

Bibliographic record

VenueThe Journal of Hindu Studies · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicIndian and Buddhist Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoetrySpiritualityLiteratureInstitutionPhilosophyArtAestheticsSociologySocial scienceMedicine

Abstract

fetched live from OpenAlex

What drew Rabindranath to Kabir? Although a poet’s purpose is never entirely transparent, the enquiry here is necessary to understand the ‘myriad-minded’ reach of Rabindranath’s art. In India’s cultural history as well, it is worth asking the question because One Hundred Poems of Kabir represents the merger of two of India’s foremost cultural institutions, Kabir and Rabindranath, within the global institution of English. From his early teens, Rabindranath had displayed the spiritual power of his poetic imagination, which progressed from awe at the distant father figure of the upaniṣads to an intense relationship with the personal godhead of vaiṣṇava poetry, especially as in Jayadeva’s Gitagovinda. But it was when he came upon Kabir’s poems that he found an answering echo to his growing attraction for a philosophically more sophisticated idea of an abstract, nirguṇa deity who could nonetheless be a viably and personally realised presence. His English versions of Kabir’s poems are necessarily, then, approximations of that resonance, which explains their closeness in form to Rabindranath‘s own expression of spirituality, most notably in his Gitanjali. My aim here is to understand the Kabir–Rabindranath unity by viewing Rabindranath’s translations in the light of his own poetry of spiritual self-affirmation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.139
GPT teacher head0.258
Teacher spread0.119 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2011
Admission routes1
Has abstractyes

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